A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM
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Amaury Lendasse | Olli Simula | Christian Jutten | Patrick Bas | Yoan Miché | C. Jutten | O. Simula | Y. Miché | P. Bas | A. Lendasse
[1] R. H. Myers. Classical and modern regression with applications , 1986 .
[2] W. T. Miller,et al. CMAC: an associative neural network alternative to backpropagation , 1990, Proc. IEEE.
[3] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[4] Michel Verleysen,et al. Mutual information for the selection of relevant variables in spectrometric nonlinear modelling , 2006, ArXiv.
[5] Alan J. Mayne,et al. Generalized Inverse of Matrices and its Applications , 1972 .
[6] Michel Verleysen,et al. Resampling methods for parameter-free and robust feature selection with mutual information , 2007, Neurocomputing.
[7] R. Shah,et al. Least Squares Support Vector Machines , 2022 .
[8] Chee Kheong Siew,et al. Extreme learning machine: Theory and applications , 2006, Neurocomputing.
[9] Héctor Pomares,et al. Effective Input Variable Selection for Function Approximation , 2006, ICANN.
[10] K. S. Banerjee. Generalized Inverse of Matrices and Its Applications , 1973 .
[11] Mauro Birattari,et al. Recursive Lazy Learning for Modeling and Control , 1998, ECML.